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DBMS > Apache Druid vs. Quasardb vs. QuestDB

System Properties Comparison Apache Druid vs. Quasardb vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#100  Overall
#51  Relational DBMS
#6  Time Series DBMS
Score0.21
Rank#282  Overall
#22  Time Series DBMS
Score0.55
Rank#233  Overall
#15  Time Series DBMS
Websitedruid.apache.orgquasardb.netquestdb.io
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasardb.netquestdb.io/­docs/­introduction
DeveloperApache Software Foundation and contributorsquasardbQuestDB Limited
Initial release201220092014
Current release0.21.0, April 20213.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyes infowith tagsno
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factorConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infothrough memory mapped files
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidQuasardbQuestDB
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Apache 2.0.
» more
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More resources
Apache DruidQuasardbQuestDB
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